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Showing 1 to 13 of 13 for “"Coefficient Estimation"”.
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Fuzzy random regression to improve coefficient estimation for Malaysian Agricultural Industry
… with numerical crisp values. Additionally coefficient values must be determined before the model is set. It is however troublesome and complex for decision maker to provide rigid values and determining the coefficient values for the model. Building the production planning model with precise …
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Tire-Road Friction Coefficient Estimation Using a Multi-scale, Physics-based Model
… A general method for predicting friction coefficients for an arbitrary asphalt pavement surface would be an invaluable engineering tool for designing many vehicle safety and performance features, tire design, and improving asphalt-aggregate mixtures used for pavement surfaces by …
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Does the Relative Price of Non-Traded Goods Contribute to the Short-Term Volatility in the U.S./Canada Real Exchange Rate? A Stochastic Coefficient Estimation Approach
This study uses a random coefficient estimation procedure to test the hypothesis that much of the volatility in the U.S./Canada real exchange rate over the time period 1971 through 1999 is due to the relative price of non-traded goods to traded goods. The model specification used in this study …
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Humanoid Robot Friction Estimation in Multi-Contact Scenarios
… only contact is initiated. Using an iterative coefficient estimation based on the achieved system forces, the robot tests the boundaries of its operable force range by inducing slip. Slip detection is utilized as the basis for coefficient estimation, which allows the robot to further understand …
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A Random Coefficient Analysis of the United States Gasoline Market From 1960-1995
This study uses a random coefficient estimation procedure to analyze the U.S. gasoline market from 1960-1995 with three main objectives: (1) provide an empirical methodology that can estimate a gasoline demand function capable of performing well in prediction; (2) evaluate the elasticities of the …
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Estimating the coefficients in a system of compatible growth and yield equations for Loblolly pine
… system. Three methods of estimating the coefficients were examined. In the first method, three of the equations were fitted independently using ordinary least squares; these coefficient estimates were carried through to the other equations. No consideration was given to the relationships …
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Lightweight friction brakes for a road vehicle with regenerative braking. Design analysis and experimental investigation of the potential for mass reduction of friction brakes on a passenger car with regenerative braking.
… thermomechanical performance (heat transfer coefficient estimation, temperature distribution, cooling and stress deformation). This would allow lighter brakes to be designed and fitted with confidence in a normal passenger car alongside a hybrid electric drive. An approach has been …
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Ab initio modeling of complex aqueous and gaseous systems containing nitrogen
… paid to fully understanding the role of activity coefficients, standard states, and reference states and how these affect the subsequent expressions. A procedure is outlined for estimating the thermochemical properties of small molecules in aqueous solution based on computational chemistry …
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Heat transfer and bubble dynamics in bubble and slurry bubble columns with internals for Fischer-Tropsch synthesis of clean alternative fuels and chemicals
… diameter internals gives higher heat transfer coefficient, higher local and overall gas holdup, bubble passage frequency and specific interfacial area but smaller bubble sizes and lower axial bubble velocities. The presence of dense internals enhances the heat transfer coefficient in both the …
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Estimation of Real-Time Runway Surface Contamination Using Flight Data Recorder Parameters
… development of an analytic process for friction coefficient estimation is presented. Under static equilibrium, the sum of forces and moments acting on the aircraft, in the aircraft body coordinate system, while on the ground at any instant is equal to zero. Under this premise the longitudinal, …
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Parameter Estimation In Linear Regression
… regression which utilizes the least squares estimation technique to estimate a model's parameters. This research investigated, from a user's perspective, the ability of linear regression to estimate the parameters' confidence intervals at the usual 95% level for medium sized data sets. A …
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Matrix probing, skeleton decompositions, and sparse Fourier transform
… This enables us to do away with a time-consuming coefficient estimation loop, use a cheaper filter and take fewer samples of x. We also speed up a crucial basic operation of many SFT algorithms by halving the number of trigonometric computations. Our theory is however not complete. First, we prove …
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The Application of Intelligent Tires and Model Base Estimation Algorithms in Tire-road Contact Characterization
… direct relation to vehicle stability, accurate estimation of tire-road characteristics is of interest to all vehicle and tire companies. Many studies have been conducted in this field and researchers have used different tools and have proposed different algorithms. One such concept is the …